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RISE helps business aviation operators make their operations more efficient. Behind our flagship product, OPTIRISE™, lies a powerful operations research (OR) algorithm—not an AI (Artificial Intelligence) model.
Its purpose is clear: to solve structured optimization problems deterministically and produce the most optimal schedule possible.
Once the parameters and constraints are set, the algorithm’s task is mathematical: find the optimal solution, and find it fast. We don’t need “creativity,” “shortcuts,” or “idea generation” at that stage, just precision and performance.
In short, when the problem is well-defined and data is structured, mathematics beats machine learning every time.
Moreover, true AI systems need enormous datasets to learn effectively, far more than what the business aviation sector can realistically provide. Here, human-defined constraints and expert modeling deliver better, faster, and more explainable results.
That said, RISE is a company built on continuous improvement. And we recognize that AI can play a meaningful role in most areas surrounding the optimization engine.
From the start, we’ve used machine learning (a subset of AI) to analyze user behavior and suggest refinements to inputs and constraints. These insights help us evolve our algorithms and adapt to real-world operator workflows. A key aera of research currently, is focused on helping clients recover from an unstructured, chaotic situation (AOG or other).
We also leverage AI internally to boost productivity, from documentation and automated testing to quality assurance and code assistance. In these contexts, AI accelerates innovation and strengthens our engineering discipline.
Complex, dynamic systems—like flight operations—benefit most from a hybrid approach:
Together, they deliver reliability, flexibility, and measurable efficiency gains for our clients.
RISE supports fractional and charter operators, both based and floating fleets, across all aircraft types. Our clients, ranging from 4 to 60 aircraft, report improved fleet and crew utilization.
Behind these outcomes lies our core philosophy: continuous improvement. When new challenges arise, we test, analyze, and deploy the best combination of tools, always guided by one principle:
Choose what works best for the client, not what’s trending.
This article was written with the help of generative AI, used where it adds value (for synthesis and clarity), under the author’s supervision for framing and opinions!
